The Lag -Effects of Air Pollutants and Meteorological Factors on COVID-19 Infection Transmission and Severity: Using Machine Learning Techniques.

Nadia Mohammadi DashtakiAlireza MirahmadizadehFararouei MohammadReza Mohammadi DashtakiMohammad HoseiniMohammad Reza Nayeb

Published in: Journal of research in health sciences (2024)

Our findings suggested that epidemics caused by COVID-19 and (possibly) similarly viral transmitted infections, including flu, air pollutants, and meteorological parameters, can be used to predict their burden on the community and health system. In addition, meteorological and air quality data should be included in preventive measures.

Keyphrases

air pollution
sars cov
coronavirus disease
heavy metals
mental health
healthcare
electronic health record
big data
risk factors
machine learning
risk assessment
data analysis